FTE: Senior AI Engineer in New York
Energy Jobline ZR · New York, US ·
- Seniority
- Senior
- Category
- AI engineering
- Experience
- 3+ years
Energy Jobline ZR · New York, US ·
Job Description
We are seeking a hands-on Senior AI Engineer to design, build, and deliver production-grade AI agents, LLM-integrated applications, and developer productivity tooling on AWS.
The ideal candidate is an experienced software engineer who remains actively involved in coding and uses GitHub Copilot and/or Claude Code CLI as part of their day-to-day development workflow. This role requires proven experience taking agentic AI or LLM-based solutions beyond proof-of-concept into production environments, with strong foundations in cloud- engineering, Microservices, APIs, and DevOps.
Basic Qualifications – Must Have
• 7+ years of experience in hands-on software engineering, including Microservices, APIs, cloud- applications, and enterprise software development.
• 3+ years of strong hands-on experience with AWS, DevOps/CI-CD, and cloud- architecture.
• Proven hands-on experience personally building and deploying an AI agent, LLM integration, or agentic workflow into a production environment.
• Current hands-on development experience, with active individual-contributor coding experience within the last 6 months.
• Demonstrated day-to-day use of GitHub Copilot and/or Claude Code CLI for software development, with the ability to explain specific real-world use cases.
Technical Skills
• Agentic AI: AI Agents, Agentic Workflows, Tool Calling, Multi-Agent Systems
• Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Strands, Bedrock Agents
• Protocols: Model Context Protocol (MCP)
• AI/LLM Platforms: AWS Bedrock, Anthropic APIs, OpenAI APIs, Azure AI Foundry
• Cloud: AWS
• Architecture: Microservices, REST APIs, Event-Driven Architecture, Cloud- Applications
• AI Coding Tools: GitHub Copilot, Claude Code CLI
• DevOps: Git, CI/CD, automated testing and deployment
• LLM Observability: Langfuse, LangSmith, Braintrust, Weights & Biases
• AI Patterns: RAG, Embeddings, Vector Search, LLM Evaluation, Guardrails